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"Adversarial Attacks for Tabular Data: Application to Fraud Detection and ..."

Francesco Cartella et al. (2021)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2023-03-10

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  - electronic edition @ ceur-ws.org (open access)
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  dblp key:
  - conf/aaai/CartellaAFYAE21
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  persistent URL:
  - https://dblp.org/rec/conf/aaai/CartellaAFYAE21
Francesco Cartella, Orlando Anunciação, Yuki Funabiki, Daisuke Yamaguchi, Toru Akishita, Olivier Elshocht:
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data. SafeAI@AAAI 2021

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